Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48235
Título: Two-swarm PSO for competitive location problems
Autores/as: Campos Rodriguez,Clara Margarita 
Moreno Pérez,José Andrés 
Noltemeier, Hartmut
Santos Peñate, Dolores Rosa 
Clasificación UNESCO: 5302 Econometría
Palabras clave: Localización de empresas
Modelos económetricos
Fecha de publicación: 2009
Editor/a: 1860-949X
Publicación seriada: Studies in Computational Intelligence 
Resumen: Competitive location problems consist of determining optimal strategies for competing firms which make location decisions. The standard problem is the leader-follower location problem which consists of determining optimal strategies for two competing firms, the leader and the follower, which make decisions sequentially. The follower has the objective of maximizing its market share, given the locations chosen by the leader. The leader optimization problem is to minimize the maximum market share that the follower can get. We propose a two-swarm particle swarm optimization procedure in which each swarm contains locations for one of the two firms. We analyze the application of this procedure to the (r p)-centroid problem in the plane. It is the leader-follower problem where the leader chooses p points and then the follower chooses r points.
URI: http://hdl.handle.net/10553/48235
ISBN: 9783642032103
ISSN: 1860-949X
DOI: 10.1007/978-3-642-03211-0_10
Fuente: Studies in Computational Intelligence[ISSN 1860-949X],v. 236, p. 115-126
Colección:Actas de congresos
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